Learner Reviews & Feedback for Tools for Data Science by IBM

4.5

stars

29,300 ratings

About the Course

In order to be successful in Data Science, you need to be skilled with using tools that Data Science professionals employ as part of their jobs. This course teaches you about the popular tools in Data Science and how to use them. You will become familiar with the Data Scientist’s tool kit which includes: Libraries & Packages, Data Sets, Machine Learning Models, Kernels, as well as the various Open source, commercial, Big Data and Cloud-based tools. Work with Jupyter Notebooks, JupyterLab, RStudio IDE, Git, GitHub, and Watson Studio. You will understand what each tool is used for, what programming languages they can execute, their features and limitations. This course gives plenty of hands-on experience in order to develop skills for working with these Data Science Tools. With the tools hosted in the cloud on Skills Network Labs, you will be able to test each tool and follow instructions to run simple code in Python, R, or Scala. Towards the end the course, you will create a final project with a Jupyter Notebook. You will demonstrate your proficiency preparing a notebook, writing Markdown, and sharing your work with your peers....

Top reviews

Aug 14, 2022

I love the detailing of every aspect of this course. The Labs, the free subscriptions and free trials provided by IBM Skills Network, everything has been so amazing. Thank you Coursera, thank you IBM.

Apr 17, 2023

the best course for the beginner who is going to start his data science journey. This course tells you all options like tools, libraries, programming languages, etc. Highly recommended for beginners.

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3526 - 3550 of 4,791 Reviews for Tools for Data Science

By mohdshahrin b

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Dec 19, 2019

Great!!!

By Akash M

•

Nov 25, 2019

loved it

By yelamanchili v r

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Jun 16, 2020

average

By Farah R

•

May 17, 2020

Thanks!

By Kausar A

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Sep 28, 2022

Great

By Md M R K

•

May 30, 2020

Thanks

By Bharat G

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Sep 23, 2024

good!

By Mohamed G

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Sep 12, 2023

great

By Sahil R

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Aug 25, 2023

Good!

By Aneesh P

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Nov 24, 2024

good

By Pritam G

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Aug 23, 2024

Good

By ADJEGUEDE A

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May 29, 2024

cool

By Mubarak M

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Mar 2, 2024

good

By 2303C 5

•

Dec 4, 2023

GOOD

By Appasami G

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Oct 17, 2023

Good

By Sumanta D

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Aug 18, 2023

Nice

By Rushabh

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Apr 9, 2023

good

By Lizeth C

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Apr 28, 2022

Good

By dharshini t

•

Jul 18, 2021

Good

By Gundlapally V S S R

•

Feb 26, 2021

good

By Muhammad S A

•

Sep 22, 2020

nice

By Taner Ö

•

Aug 16, 2020

good

By Chukwuemeka O

•

Aug 11, 2020

Nice

By VISHNU T B

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Jun 25, 2020

Good

By Prashant P

•

Mar 29, 2020

good